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Record W7009320591

Dutour, Eugene oral history interview

2013· other· en· W7009320591 on OpenAlexaboutno aff

Bibliographic record

VenueSummit (Simon Fraser University) · 2013
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicSubterranean biodiversity and taxonomy
Canadian institutionsnot available
Fundersnot available
KeywordsOral historyVariety (cybernetics)TourismBiography
DOInot available

Abstract

fetched live from OpenAlex

Eugene Dutour is a retired French-Canadian International Longshore & Warehouse Union(ILWU) local 502 longshoreman. At 18 years old, while hitchhiking with his brother-in-law from Cloverdale to New Westminster, a longshoreman picked them up and asked them if they were looking for work, and they said “yes”. On January 7th 1961, the next day, they went to the dispatch hall and got their first jobs. It took Dutour approx. 4.5 years to become an ILWU member in 1965. During his career he received his locomotive ticket, which was only good for the waterfront. He often worked at Neptune Terminals, Vancouver wharfs, and at Fraser Surrey Docks. During the last 28 years of his career he worked at Westshore Terminals. He enjoyed the variety of jobs longshoring, which he explains is why he worked as a longshoreman for 45 years. He is proud to be a longshoreman because the job gave him the means to take care of his family.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.117
Threshold uncertainty score0.391

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0160.002
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.1170.012

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.176
Teacher spread0.133 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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